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Description
Hi, thanks for this tool ;) A quick Q. I already ran InferCNV, HMM = T, on current "best", which is Leiden.
io2 = infercnv::run(io1,
cutoff=0.1,
out_dir="cutoff0_1_res0_000375_HMM",
cluster_by_groups=F,
HMM=T,
analysis_mode='subclusters',
tumor_subcluster_partition_method='leiden',
leiden_resolution=0.000375,
denoise=T,
sd_amplifier=2,
#up_to_step = 15,
resume_mode = TRUE,
num_threads=14
)
I used this for some downstream analysis, but I now want to make a phylogenetic tree, ideally without re-running all prior analysis steps.
Your tool looks good.
I ran the test fine. But on my data, it fails.
Here is a snippet from test, and from my data:
Test:
cell_group_name cell
Retinoblastoma.Retinoblastoma_sRetinoblastoma.1.1.1.1 GATTCAGAGACGCAAC
Retinoblastoma.Retinoblastoma_sRetinoblastoma.1.1.1.1 GGCCGATCAAGTTCTG
Retinoblastoma.Retinoblastoma_sRetinoblastoma.1.1.1.1 AACTCTTAGACGCTTT
Retinoblastoma.Retinoblastoma_sRetinoblastoma.1.1.1.1 CACATTTGTACAGCAG
Mine:
cell_group_name cell
all_observations.all_observations_s1 AAAGTGAAGTGGAAGA
all_observations.all_observations_s1 AACAACCTCAGTCTTT
all_observations.all_observations_s1 AACCACAGTTTGGGTT
all_observations.all_observations_s1 AACGGGACAAGCGCAA
For my one, I edited out the reference cells, and also prefixes like REL_ TN_ ahead of cell names. Nonetheless, the result of mine is:
,100.0
Where the test is like:
1,0.0
1.1,0.0,B
1.1.1,0.0,C
1.1.1.1,15.776699029126213,D
1.1.1.2,16.74757281553398,E
1.1.2,0.0,F
1.1.2.1,15.29126213592233,G
1.1.2.2,27.9126213592233,H
1.2,0.0,I
1.2.1,0.0,J
1.2.1.1,9.466019417475728,K
1.2.1.2,6.553398058252427,L
I guess the difference relates to the .1.1.1.1 etc format, where I have .1-15.
Do you know if there is some way I can get round this, or a way I could make my file in the format?
Would be great to know, as would be very useful if it was possible to run this tool with the Leiden approach ..